Dr. L.J. (Lourens) Waldorp
Faculty of Social and Behavioural Sciences
Programme group Psychological Methods
Visiting address
- Nieuwe Achtergracht 129
- Room number: 0.36
Postal address
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Postbus 15906
1001 NK Amsterdam
Contact details
Social media
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Profile
Lourens Waldorp is associate professor at the Department of Psychological Methods. His research concerns mostly network analysis (graphical models), high-dimensional statistics and dynamical systems. Also, foundations of probability, causality (causal networks), and philosophy of probability are of interest.
Interests
- foundations of probabilkity (randomness)
- graph (network) theory
- graphical models
- network discovery
- mathematical statistics
- high-dimensional statistics
- dynamical systems
- stochastic processes
- applications to biophysical data
- signal processing
Teaching
- statistics for first-year students
- multivariate statistics
- network analysis
- mathematical statistics
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Publications
- refereed (78)
- academic (9)
- professional (1)
- popular scientific (1)
- conference contributions (2)
- other output (2)
- recognitions (4)
- supervised theses (1)
- working papers / preprints (1)
- datasets (1)
2024
Schouwenaars, I. M. G., Magnée, M. J. C. M., Geurts, H. M., van Bennekom, C. A. M., Pillen, S., Waldorp, L. J., Blanken, T. F., & Teunisse, J. P. (2024). Sleep and daytime functioning in autistic teenagers: A psychological network approach. Research in Autism Spectrum Disorders, 112, Article 102332. https://doi.org/10.1016/j.rasd.2024.102332 [details]- Waldorp, L., & Haslbeck, J. (2024). Network Inference with the Lasso. Multivariate Behavioral Research. Advance online publication. https://doi.org/10.31234/osf.io/v5yzu, https://doi.org/10.1080/00273171.2024.2317928
2023
- Chambon, M., Dalege, J., Borsboom, D., Waldorp, L. J., van der Maas, H. L. J., & van Harreveld, F. (2023). How compliance with behavioural measures during the initial phase of a pandemic develops over time: A longitudinal COVID-19 study. British Journal of Social Psychology, 62(1), 302-321. https://doi.org/10.1111/bjso.12572 [details]
- Stocker, J. E., Koppe, G., Reich, H., Heshmati, S., Kittel-Schneider, S., Hofmann, S. G., Hahn, T., van der Maas, H. L. J., Waldorp, L., & Jamalabadi, H. (2023). Formalizing psychological interventions through network control theory. Scientific Reports, 13, Article 13830. https://doi.org/10.1038/s41598-023-40648-x [details]
2022
- Borsboom, D., Deserno, M. K., Rhemtulla, M., Epskamp, S., Fried, E. I., McNally, R. J., Robinaugh, D. J., Perugini, M., Dalege, J., Constantini, G., Isvoranu, A. M., Wysocki, A. C., van Borkulo, C. D., van Bork, R., & Waldorp, L. J. (2022). Author Correction: Network analysis of multivariate data in psychological science: (Nature Reviews Methods Primers, (2021), 1, 1, (58), 10.1038/s43586-021-00055-w). Nature Reviews Methods Primers, 2(1), Article 10. https://doi.org/10.1038/s43586-022-00101-1
- Chambon, M., Dalege, J., Waldorp, L. J., Van der Maas, H. L. J., Borsboom, D., & van Harreveld, F. (2022). Tailored interventions into broad attitude networks towards the COVID-19 pandemic. PLoS ONE, 17(10), Article e0276439. https://doi.org/10.1371/journal.pone.0276439 [details]
- Haslbeck, J. M. B., Ryan, O., Robinaugh, D. J., Waldorp, L. J., & Borsboom, D. (2022). Modeling Psychopathology: From Data Models to Formal Theories. Psychological Methods, 27(6), 930-957. Advance online publication. https://doi.org/10.31234/osf.io/jgm7f, https://doi.org/10.1037/met0000303 [details]
- Haslbeck, J. M. B., Ryan, O., van der Maas, H. L. J., & Waldorp, L. J. (2022). Modeling Change in Networks. In A-M. Isvoranu, S. Epskamp, L. Waldrop, & D. Borsboom (Eds.), Network Psychometrics with R: A Guide for Behavioral and Social Scientists (pp. 193-209). (Research methods and statistics). Routledge. Advance online publication. https://doi.org/10.4324/9781003111238-14 [details]
- Haslbeck, J. M. B., Vermunt, J. K., & Waldorp, L. J. (2022). The Impact of Ordinal Scales on Gaussian Mixture Recovery. Behavior Research Methods. Advance online publication. https://doi.org/10.3758/s13428-022-01883-8
- Huth, K. B. S., Waldorp, L. J., Luigjes, J., Goudriaan, A. E., van Holst, R. J., & Marsman, M. (2022). A Note on the Structural Change Test in Highly Parameterized Psychometric Models. Psychometrika, 87(3), 1064-1080. Advance online publication. https://doi.org/10.1007/s11336-021-09834-6 [details]
- Marsman, M., Huth, K., Waldorp, L. J., & Ntzoufras, I. (2022). Objective Bayesian Edge Screening and Structure Selection for Ising Networks. Psychometrika, 87(1), 47-82. https://doi.org/10.1007/s11336-022-09848-8 [details]
- Ntekouli, M., Spanakis, G., Waldorp, L., & Roefs, A. (2022). Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data. In T. Bouadi, E. Fromont, & E. Hüllermeier (Eds.), Advances in Intelligent Data Analysis XX: 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20–22, 2022 : proceedings (pp. 199-211). (Lecture Notes in Computer Science; Vol. 13205). Springer. https://doi.org/10.1007/978-3-031-01333-1_16 [details]
- Waldorp, L., & Marsman, M. (2022). Relations between Networks, Regression, Partial Correlation, and the Latent Variable Model. Multivariate Behavioral Research, 57(6), 994-1006. https://doi.org/10.1080/00273171.2021.1938959 [details]
- van Borkulo, C. D., van Bork, R., Boschloo, L., Kossakowski, J. J., Tio, P., Schoevers, R. A., Borsboom, D., & Waldorp, L. J. (2022). Comparing network structures on three aspects: A permutation test. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000476
2021
- Borsboom, D., Deserno, M. K., Rhemtulla, M., Epskamp, S., Fried, E. I., McNally, R. J., Robinaugh, D. J., Perugini, M., Dalege, J., Costantini, G., Isvoranu, A-M., Wysocki, A. C., van Borkulo, C. D., van Bork, R., & Waldorp, L. J. (2021). Network analysis of multivariate data in psychological science. Nature Reviews Methods Primers, 1, Article 58. https://doi.org/10.1038/s43586-021-00055-w [details]
- Cremers, H., van Zutphen, L., Duken, S., Domes, G., Sprenger, A., Waldorp, L., & Arntz, A. (2021). Borderline personality disorder classification based on brain network measures during emotion regulation. European archives of psychiatry and clinical neuroscience, 217(6), 1169-1178. Advance online publication. https://doi.org/10.1007/s00406-020-01201-3 [details]
- Haslbeck, J. M. B., Borsboom, D., & Waldorp, L. J. (2021). Moderated Network Models. Multivariate Behavioral Research, 56(2), 256-287. Advance online publication. https://doi.org/10.1080/00273171.2019.1677207 [details]
- Haslbeck, J. M. B., Bringmann, L. F., & Waldorp, L. J. (2021). A Tutorial on Estimating Time-Varying Vector Autoregressive Models. Multivariate Behavioral Research, 56(1), 120-149. Advance online publication. https://doi.org/10.1080/00273171.2020.1743630 [details]
- Haslbeck, J. M. B., Epskamp, S., Marsman, M., & Waldorp, L. J. (2021). Interpreting the Ising Model: The Input Matters. Multivariate Behavioral Research, 56(2), 303-313. Advance online publication. https://doi.org/10.1080/00273171.2020.1730150 [details]
- Kossakowski, J. J., Waldorp, L. J., & van der Maas, H. L. J. (2021). The Search for Causality: A Comparison of Different Techniques for Causal Inference Graphs. Psychological Methods, 26(6), 719-742. Advance online publication. https://doi.org/10.1037/met0000390 [details]
- Robinaugh, D. J., Haslbeck, J. M. B., Ryan, O., Fried, E. I., & Waldorp, L. J. (2021). Invisible Hands and Fine Calipers: A Call to Use Formal Theory as a Toolkit for Theory Construction. Perspectives on Psychological Science, 16(4), 725-743. Advance online publication. https://doi.org/10.1177/1745691620974697 [details]
- van Bork, R., Rhemtulla, M., Waldorp, L. J., Kruis, J., Rezvanifar, S., & Borsboom, D. (2021). Latent Variable Models and Networks: Statistical Equivalence and Testability. Multivariate Behavioral Research, 56(2), 175–198. Advance online publication. https://doi.org/10.1080/00273171.2019.1672515 [details]
2020
- Derks, J. L., Vermeulen, J., Boyette, L-L., Waldorp, L. J., & de Haan, L. (2020). Short-term sequences of aggressive behavior in psychiatric inpatients with psychotic disorders using Markov models. Journal of mental health. Advance online publication. https://doi.org/10.1080/09638237.2020.1818188
- Haslbeck, J. M. B., & Waldorp, L. J. (2020). mgm: Structure Estimation for Time-Varying Mixed Graphical Models in high-dimensional Data. Journal of Statistical Software, 93, Article 8. https://doi.org/10.18637/jss.v093.i08 [details]
- Pircalabelu, E., Claeskens, G., & Waldorp, L. J. (2020). Zoom-in–out joint graphical lasso for different coarseness scales. Journal of the Royal Statistical Society. Series C: Applied Statistics, 69(1), 47-67. Advance online publication. https://doi.org/10.1111/rssc.12378 [details]
- Tio, P., Waldorp, L., & VanDeun, K. (2020). Constructing Graphical Models for Multi-Source Data: Sparse Network and Component Analysis. In T. Imaizumi, A. Okada, S. Miyamoto, F. Sakaori, Y. Yamamoto, & M. Vichi (Eds.), Advanced Studies in Classification and Data Science (pp. 275-287). (Studies in Classification, Data Analysis, and Knowledge Organization). Springer. https://doi.org/10.1007/978-981-15-3311-2_22 [details]
- Waldorp, L., & Kossakowski, J. (2020). Mean field dynamics of stochastic cellular automata for random and small-world graphs. Journal of Mathematical Psychology, 97, Article 102380. https://doi.org/10.1016/j.jmp.2020.102380 [details]
- van de Ven, V., Waldorp, L., & Christoffels, I. (2020). Hippocampus plays a role in speech feedback processing. NeuroImage, 223, Article 117319. Advance online publication. https://doi.org/10.1016/j.neuroimage.2020.117319 [details]
- van der Maas, H. L. J., Dalege, J., & Waldorp, L. (2020). The polarization within and across individuals: the hierarchical Ising opinion model. Journal of complex networks, 8(2). https://doi.org/10.1093/comnet/cnaa010 [details]
2019
- Jahfari, S., Ridderinkhof, K. R., Collins, A. G. E., Knapen, T., Waldorp, L. J., & Frank, M. J. (2019). Cross-Task Contributions of Frontobasal Ganglia Circuitry in Response Inhibition and Conflict-Induced Slowing. Cerebral Cortex, 29(5), 1969-1983. Advance online publication. https://doi.org/10.1093/cercor/bhy076 [details]
- Kossakowski, J. J., Gordijn, M. C. M., Riese, H., & Waldorp, L. J. (2019). Applying a Dynamical Systems Model and Network Theory to Major Depressive Disorder. Frontiers in Psychology, 10, Article 1762. https://doi.org/10.3389/fpsyg.2019.01762 [details]
- Marsman, M., Tanis, C. C., Bechger, T. M., & Waldorp, L. J. (2019). Network psychometrics in educational practice: Maximum likelihood estimation of the Curie-Weiss model. In B. P. Veldkamp, & C. Sluijter (Eds.), Theoretical and Practical Advances in Computer-Based Educational Measurement (pp. 93-120). (Methodology of Educational Measurement and Assessment). SpringerOpen. https://doi.org/10.1007/978-3-030-18480-3_5 [details]
- Marsman, M., Waldorp, L., Dablander, F., & Wagenmakers, E-J. (2019). Bayesian estimation of explained variance in ANOVA designs. Statistica Neerlandica, 73(3), 351-372. https://doi.org/10.1111/stan.12173 [details]
- Robinaugh, D., Haslbeck, J. M. B., Waldorp, L. J., Kossakowski, J. J., Fried, E. I., Millner, A. J., McNally, R., van Nes, E. H., Scheffer, M., Kendler, K. S., & Borsboom, D. (2019). Advancing the Network Theory of Mental Disorders: A Computational Model of Panic Disorder. Psychological Review. Advance online publication. https://doi.org/10.31234/osf.io/km37w
- Waldorp, L., Marsman, M., & Maris, G. (2019). Logistic regression and Ising networks: Prediction and estimation when violating lasso assumptions. Behaviormetrika, 46(1), 49-72. Advance online publication. https://doi.org/10.1007/s41237-018-0061-0 [details]
- Zadelaar, J. N., Weeda, W. D., Waldorp, L. J., van Duijvenvoorde, A. C. K., Blankenstein, N. E., & Huizenga, H. M. (2019). Are individual differences quantitative or qualitative? An integrated behavioral and fMRI MIMIC approach. NeuroImage, 202, Article 116058. Advance online publication. https://doi.org/10.1016/j.neuroimage.2019.116058 [details]
2018
- Epskamp, S., Waldorp, L. J., Mõttus, R., & Borsboom, D. (2018). The Gaussian Graphical Model in Cross-Sectional and Time-Series Data. Multivariate Behavioral Research, 53(4), 453-480. https://doi.org/10.1080/00273171.2018.1454823 [details]
- Gunst, A., Werner, M., Waldorp, L. J., Laan, E. T. M., Källström, M., & Jern, P. (2018). A network analysis of female sexual function: comparing symptom networks in women with decreased, increased, and stable sexual desire. Scientific Reports, 8, Article 15815. https://doi.org/10.1038/s41598-018-34138-8 [details]
- Haslbeck, J. M. B., & Waldorp, L. J. (2018). How well do network models predict observations? On the importance of predictability in network models. Behavior Research Methods, 50(2), 853-861. https://doi.org/10.3758/s13428-017-0910-x [details]
- Marsman, M., Borsboom, D., Kruis, J., Epskamp, S., van Bork, R., Waldorp, L. J., van der Maas, H. L. J., & Maris, G. (2018). An introduction to network psychometrics: Relating ising network models to item response theory models. Multivariate Behavioral Research, 53(1), 15-35. https://doi.org/10.1080/00273171.2017.1379379 [details]
- Verschuere, B., van Ghesel Grothe, S., Waldorp, L., Watts, A. L., Lilienfeld, S. O., Edens, J. F., Skeem, J. L., & Noordhof, A. (2018). What features of psychopathy might be central? A network analysis of the psychopathy checklist-revised (PCL-R) in three large samples. Journal of Abnormal Psychology, 127(1), 51-65. Advance online publication. https://doi.org/10.1037/abn0000315 [details]
- Werner, M., Štulhofer, A., Waldorp, L., & Jurin, T. (2018). A Network Approach to Hypersexuality: Insights and Clinical Implications. Journal of Sexual Medicine, 15(3), 373-386. https://doi.org/10.1016/j.jsxm.2018.01.009 [details]
- de Mooij, S. M. M., Henson, R. N. A., Waldorp, L. J., & Kievit, R. A. (2018). Age Differentiation within Gray Matter, White Matter, and between Memory and White Matter in an Adult Life Span Cohort. The Journal of Neuroscience, 38(25), 5826-5836. https://doi.org/10.1523/JNEUROSCI.1627-17.2018 [details]
- van Bork, R., Grasman, R. P. P. P., & Waldorp, L. J. (2018). Unidimensional factor models imply weaker partial correlations than zero-order correlations. Psychometrika, 83(2), 443–452. https://doi.org/10.1007/s11336-018-9607-z [details]
2017
- Dalege, J., Borsboom, D., van Harreveld, F., Waldorp, L. J., & van der Maas, H. L. J. (2017). Network Structure Explains the Impact of Attitudes on Voting Decisions. Scientific Reports, 7, Article 4909. https://doi.org/10.1038/s41598-017-05048-y [details]
- Marsman, M., Waldorp, L., & Maris, G. (2017). A note on large-scale logistic prediction: Using an approximate graphical model to deal with collinearity and missing data. Behaviormetrika, 44(2), 513-534. https://doi.org/10.1007/s41237-017-0024-x [details]
2016
- Cramer, A. O. J., van Ravenzwaaij, D., Matzke, D., Steingroever, H., Wetzels, R., Grasman, R. P. P. P., Waldorp, L. J., & Wagenmakers, E-J. (2016). Hidden multiplicity in exploratory multiway ANOVA: Prevalence and remedies. Psychonomic Bulletin & Review, 23(2), 640-647. Advance online publication. https://doi.org/10.3758/s13423-015-0913-5 [details]
- Pircalabelu, E., Claeskens, G., & Waldorp, L. J. (2016). Mixed scale joint graphical lasso. Biostatistics, 17(4), 793-806. https://doi.org/10.1093/biostatistics/kxw025 [details]
2015
- Claeskens, G., Pircalabelu, E., & Waldorp, L. (2015). Constructing graphical models via the focused information criterion. In A. Antoniadis, J-M. Poggi, & X. Brossat (Eds.), Modeling and Stochastic learning for forecasting in high dimensions (pp. 55-78). (Lecture notes in statistics; No. 217). Springer. https://doi.org/10.1007/978-3-319-18732-7_4 [details]
- Costantini, G., Epskamp, S., Borsboom, D., Perugini, M., Mõttus, R., Waldorp, L. J., & Cramer, A. O. J. (2015). State of the aRt personality research: A tutorial on network analysis of personality data in R. Journal of Research in Personality, 54, 13-29. Advance online publication. https://doi.org/10.1016/j.jrp.2014.07.003 [details]
- Jahfari, S., Waldorp, L., Ridderinkhof, K. R., & Scholte, H. S. (2015). Visual information shapes the dynamics of corticobasal ganglia pathways during response selection and inhibition. Journal of Cognitive Neuroscience, 27(7), 1344-1359. https://doi.org/10.1162/jocn_a_00792 [details]
- Pircalabelu, E., Claeskens, G., & Waldorp, L. (2015). A focused information criterion for graphical models. Statistics and Computing, 25(6), 1071-1092. Advance online publication. https://doi.org/10.1007/s11222-014-9504-y [details]
- Schmittmann, V. D., Jahfari, S., Borsboom, D., Savi, A. O., & Waldorp, L. J. (2015). Making large-scale networks from fMRI data. PLoS ONE, 10(9), Article e0129074. Advance online publication. https://doi.org/10.1371/journal.pone.0129074 [details]
- Waldorp, L. J., & Schmittmann, V. D. (2015). Computing assortative mixing by degree with the s-metric in networks using linear programming. Journal of applied mathematics, 2015, Article 580361. https://doi.org/10.1155/2015/580361 [details]
- van Borkulo, C., Boschloo, L., Borsboom, D., Penninx, B. W. J. H., Waldorp, L. J., & Schoevers, R. A. (2015). Association of symptom network structure with the course of depression. JAMA Psychiatry, 72(12), 1219-1226. https://doi.org/10.1001/jamapsychiatry.2015.2079 [details]
2014
- Guillaume, B., Hua, X., Thompson, P. M., Waldorp, L., & Nichols, T. E. (2014). Fast and accurate modelling of longitudinal and repeated measures neuroimaging data. NeuroImage, 94, 287-302. Advance online publication. https://doi.org/10.1016/j.neuroimage.2014.03.029 [details]
- de Hollander, G., Wagenmakers, E-J., Waldorp, L., & Forstmann, B. (2014). An antidote to the imager's fallacy, or how to identify brain areas that are in limbo. PLoS ONE, 9(12), Article e115700. https://doi.org/10.1371/journal.pone.0115700 [details]
- van Borkulo, C. D., Borsboom, D., Epskamp, S., Blanken, T. F., Boschloo, L., Schoevers, R. A., & Waldorp, L. J. (2014). A new method for constructing networks from binary data. Scientific Reports, 4, Article 5918. https://doi.org/10.1038/srep05918 [details]
2013
- Bringmann, L. F., Scholte, H. S., & Waldorp, L. J. (2013). Matching structural, effective, and functional connectivity: a comparison between structural equation modeling and ancestral graphs. Brain Connectivity, 3(4), 375-385. Advance online publication. https://doi.org/10.1089/brain.2012.0130 [details]
- Kievit, R. A., Frankenhuis, W. E., Waldorp, L. J., & Borsboom, D. (2013). Simpson's paradox in psychological science: a practical guide. Frontiers in Psychology, 4, Article 513. https://doi.org/10.3389/fpsyg.2013.00513 [details]
- Schmittmann, V. D., Cramer, A. O. J., Waldorp, L. J., Epskamp, S., Kievit, R. A., & Borsboom, D. (2013). Deconstructing the construct: A network perspective on psychological phenomena. New Ideas in Psychology, 31(2), 43-53. https://doi.org/10.1016/j.newideapsych.2011.02.007 [details]
2012
- Epskamp, S., Cramer, A. O. J., Waldorp, L. J., Schmittmann, V. D., & Borsboom, D. (2012). Qgraph: Network visualizations of relationships in psychometric data. Journal of Statistical Software, 48(4), 1-18. http://www.jstatsoft.org/v48/i04 [details]
- Jahfari, S., Verbruggen, F., Frank, M. J., Waldorp, L. J., Colzato, L., Ridderinkhof, K. R., & Forstmann, B. U. (2012). How preparation changes the need for top-down control of the basal ganglia when inhibiting premature actions. The Journal of Neuroscience, 32(32), 10870-10878. https://doi.org/10.1523/JNEUROSCI.0902-12.2012 [details]
- Kievit, R. A., van Rooijen, H., Wicherts, J. M., Waldorp, L. J., Kan, K-J., Scholte, H. S., & Borsboom, D. (2012). Intelligence and the brain: a model-based approach. Cognitive Neuroscience, 3(2), 89-97. https://doi.org/10.1080/17588928.2011.628383 [details]
- Weeda, W. D., Grasman, R. P. P. P., Waldorp, L. J., van de Laar, M. C., van der Molen, M. W., & Huizenga, H. M. (2012). A fast and reliable method for simultaneous estimation of waveform, amplitude and latency of single-trial EEG/MEG data. PLoS ONE, 7(6), e38292. https://doi.org/10.1371/journal.pone.0038292 [details]
2011
- Borsboom, D., Cramer, A. O. J., Schmittmann, V. D., Epskamp, S., & Waldorp, L. J. (2011). The small world of psychopathology. PLoS ONE, 6(11), Article e27407. https://doi.org/10.1371/journal.pone.0027407 [details]
- Christoffels, I. K., Van de Ven, V., Waldorp, L. J., Formisano, E., & Schiller, N. O. (2011). The sensory consequences of speaking: parametric neural cancellation during speech in auditory cortex. PLoS ONE, 6(5), Article e18307. https://doi.org/10.1371/journal.pone.0018307 [details]
- Jahfari, S., Waldorp, L., van den Wildenberg, W. P. M., Scholte, H. S., Ridderinkhof, K. R., & Forstmann, B. U. (2011). Effective connectivity reveals important roles for both the hyperdirect (fronto-subthalamic) and indirect (fronto-striatal-pallidal) fronto-basal ganglia pathways during response inhibition. The Journal of Neuroscience, 31(18), 6891-6899. https://doi.org/10.1523/JNEUROSCI.5253-10.2011 [details]
- Kievit, R. A., Romeijn, J-W., Waldorp, L. J., Wicherts, J. M., Scholte, H. S., & Borsboom, D. (2011). Mind the gap: a psychometric approach to the reduction problem. Psychological Inquiry, 22(2), 67-87. https://doi.org/10.1080/1047840X.2011.550181 [details]
- Kievit, R. A., Romeijn, J-W., Waldorp, L. J., Wicherts, J. M., Scholte, H. S., & Borsboom, D. (2011). Modeling mind and matter: reductionism and psychological measurement in cognitive neuroscience. Psychological Inquiry, 22(2), 139-157. https://doi.org/10.1080/1047840X.2011.567962 [details]
- Waldorp, L., Christoffels, I., & van de Ven, V. (2011). Effective connectivity of fMRI data using ancestral graph theory: dealing with missing regions. NeuroImage, 54(4), 2695-2705. https://doi.org/10.1016/j.neuroimage.2010.10.054 [details]
- Weeda, W. D., Waldorp, L. J., Grasman, R. P. P. P., van Gaal, S., & Huizenga, H. M. (2011). Functional connectivity analysis of fMRI data using parameterized regions-of-interest. NeuroImage, 54(1), 410-416. https://doi.org/10.1016/j.neuroimage.2010.07.022 [details]
- Weeda, W. D., de Vos, F., Waldorp, L. J., Grasman, R. P. P. P., & Huizenga, H. M. (2011). arf3DS4: an integrated framework for localization and connectivity analysis of fMRI data. Journal of Statistical Software, 44(14). http://www.jstatsoft.org/v44/i14/ [details]
2010
- Cramer, A. O. J., Waldorp, L. J., van der Maas, H. L. J., & Borsboom, D. (2010). Comorbidity: a network perspective. Behavioral and Brain Sciences, 33(2-3), 137-150. https://doi.org/10.1017/S0140525X09991567 [details]
- Cramer, A. O. J., Waldorp, L. J., van der Maas, H. L. J., & Borsboom, D. (2010). Complex realities require complex theories: refining and extending the network approach to mental disorders. Behavioral and Brain Sciences, 33(2-3), 178-193. https://doi.org/10.1017/S0140525X10000920 [details]
2009
- Scholte, H. S., Ghebreab, S., Waldorp, L., Smeulders, A. W. M., & Lamme, V. A. F. (2009). Brain responses strongly correlate with Weibull image statistics when processing natural images. Journal of Vision, 9(4), Article 29. https://doi.org/10.1167/9.4.29 [details]
- Waldorp, L. (2009). Robust and unbiased variance of GLM coefficients for misspecified autocorrelation and hemodynamic response models in fMRI. International Journal of Biomedical Imaging, 2009(723912), 1-11. https://doi.org/10.1155/2009/723912 [details]
- Weeda, W. D., Waldorp, L. J., Christoffels, I., & Huizenga, H. M. (2009). Activated region fitting: a robust high-power method for fMRI analysis using parameterized regions of activation. Human Brain Mapping, 30(8), 2595-2605. https://doi.org/10.1002/hbm.20697 [details]
2023
- Marsman, M., Waldorp, L., & Borsboom, D. (2023). Towards an Encompassing Theory of Network Models: Reply to Brusco, Steinley, Hoffman, Davis-Stober, and Wasserman (2019). Psychological Methods, 28(4), 757-764. https://doi.org/10.1037/met0000373 [details]
2022
- Borsboom, D., Deserno, M. K., Rhemtulla, M., Epskamp, S., Fried, E. I., McNally, R. J., Robinaugh, D. J., Perugini, M., Dalege, J., Costantini, G., Isvoranu, A.-M., Wysocki, A. C., van Borkulo, C. D., van Bork, R., & Waldorp, L. J. (2022). Reply to ‘Critiques of network analysis of multivariate data in psychological science’. Nature Reviews Methods Primers, 2, Article 91. https://doi.org/10.1038/s43586-022-00178-8 [details]
- Isvoranu, A-M., Epskamp, S., Waldorp, L., & Borsboom, D. (Eds.) (2022). Network Psychometrics with R: A Guide for Behavioral and Social Scientists . (Research methods and statistics). Routledge. Advance online publication. https://doi.org/10.4324/9781003111238 [details]
2018
- Epskamp, S., Maris, G., Waldorp, L. J., & Borsboom, D. (2018). Network Psychometrics. In P. Irwing, T. Booth, & D. J. Hughes (Eds.), The Wiley Handbook of Psychometric Testing: A Multidisciplinary Reference on Survey, Scale and Test Development (Vol. 2, pp. 953-986). Wiley. https://doi.org/10.1002/9781118489772.ch30 [details]
- van Bork, R., van Borkulo, C. D., Waldorp, L. J., Cramer, A. O. J., & Borsboom, D. (2018). Network Models for Clinical Psychology. In J. T. Wixted, & E-J. Wagenmakers (Eds.), Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience. - Volume 5: Methodology (4 ed., pp. 693-728). Wiley. https://doi.org/10.1002/9781119170174.epcn518 [details]
2017
- Borsboom, D., Fried, E. I., Epskamp, S., Waldorp, L. J., van Borkulo, C. D., van der Maas, H. L. J., & Cramer, A. O. J. (2017). False alarm? A comprehensive reanalysis of "evidence that psychopathology symptom networks have limited replicability" by Forbes, Wright, Markon, and Krueger (2017). Journal of Abnormal Psychology, 126(7), 989-999. https://doi.org/10.1037/abn0000306 [details]
2016
- Van Borkulo, C., Boschloo, L., Borsboom, D., Penninx, B. W. J. H., Waldorp, L. J., & Schoevers, R. A. (2016). Erratum: Association of symptom network structure with the course of longitudinal depression (JAMA Psychiatry (2015) 72:12 (1219-1226)). JAMA Psychiatry, 73(4), 412. https://doi.org/10.1001/jamapsychiatry.2016.0024
2014
- Claeskens, G., Pircalabelu, E., & Waldorp, L. (2014). Constructing graphical models via the focused information criterion. (KBI; No. 1404). University of Leuven. https://doi.org/10.2139/ssrn.2419382 [details]
2012
- Kievit, R. A., Waldorp, L. J., Kan, K. J., & Wicherts, J. M. (2012). Causality: populations, individuals, and assumptions. European Journal of Personality, 26(4), 400-401. https://doi.org/10.1002/per.1865 [details]
2008
- Waldorp, L. (2008). [Review of: A.R. Brazzale, A.C. Davidson (2007) Applied asymptotics: Case studies in small sample statistics]. Biometrics, 64(2), 660-660. http://www.jstor.org/stable/25502114 [details]
2009
- Waldorp, L. J., Huizenga, H., Grasman, R., & Winkel, J. (2009). The attack on neuroscientists or why every warrior should attend an elementary course in statistics. Spiegeloog, 328, 18-19. http://issuu.com/spiegeloog/docs/boek328?mode=a_p
2013
- Pircalabelu, E., Claeskens, G., & Waldorp, L. J. (2013). Model selection for graphical models using the focused information criterion. Abstract from Workshop of the Scientific Research Network on "Asymptotic Theory for Multidimensional Statistics", .
- van der Leij, A. R., Ridderinkhof, R., Waldorp, L., & Scholte, H. S. (2013). Efficiency of reaction and inhibition are associated with unique white matter network fingerprints in a large (N=950) sample representative of the Dutch population. Abstract from Society for Neuroscience 2013. http://www.abstractsonline.com/plan/ViewAbstract.aspx?cKey=92397d7e-317a-426b-aa45-a9cd0fb04ea9&mID=3236&mKey=8d2a5bec-4825-4cd6-9439-b42bb151d1cf&sKey=d437e33b-3e39-48f9-9a14-c91b98fbd28e
2014
- Jahfari, S., Waldorp, L. J., Ridderinkhof, K. R., & Scholte, H. S. (2014). Visual information shapes the dynamics of cortico-basal ganglia pathways during perceptual response selection and inhibition. Journal of Vision, 14(10), Article 308. https://doi.org/10.1167/14.10.308
2013
- Jahfari, S., Ridderinkhof, K. R., Waldorp, L., & Scholte, H. S. (2013). The prefrontal cortex and higher sensory areas co-direct the basal ganglia to pass the most optimal response. Psychophysiology, 50(S1), S22. https://doi.org/10.1111/psyp.12119
Journal editor
- Waldorp, L. J. (editor) (2015). PLoS ONE (Journal).
Talk / presentation
- Waldorp, L. J. (invited speaker) (20-11-2013). Invited lecture on Networks in neuroscience, EFPSA, Amsterdam.
- Waldorp, L. J. (invited speaker) (6-4-2013). Invited lecture on Networks in neuroscience, Christiaan Huygens Seminar, Delft.
- Waldorp, L. J. (invited speaker) (31-1-2013). Invited keynote on Networks in psychology and neuroscience, EURANDOM, Eindhoven.
2015
- Haslbeck, J. M. B., & Waldorp, L. J. (2015). Structure estimation for mixed graphical models in high-dimensional data. ArXiv. http://arxiv.org/abs/1510.05677 [details]
2018
- Epskamp, S., Waldorp, L. J., Mõttus, R. & Borsboom, D. (2018). The Gaussian Graphical Model in Cross-Sectional and Time-Series Data. Taylor & Francis. https://doi.org/10.6084/m9.figshare.6144422.v1
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Ancillary activities
- No ancillary activities
Schouwenaars, I. M. G., Magnée, M. J. C. M., Geurts, H. M., van Bennekom, C. A. M., Pillen, S., Waldorp, L. J., Blanken, T. F., & Teunisse, J. P. (2024). Sleep and daytime functioning in autistic teenagers: A psychological network approach. Research in Autism Spectrum Disorders, 112, Article 102332.